5G RF Spectrum-based Cryptographic Pseudo Random Number Generation for IoT Security
Master thesis
Permanent lenke
https://hdl.handle.net/11250/3089932Utgivelsesdato
2023Metadata
Vis full innførselSamlinger
- Studentoppgaver (TN-IDE) [866]
Sammendrag
This thesis presents a novel approach for generating truly random num-bers in 5G wireless communication systems using the radio frequency (RF)spectrum. The proposed method leverages variations in the RF spectrumto create entropy, which is then used to generate truly random numbers.This approach is based on channel state information (CSI) measured atthe receiver in 5G systems and utilize the variability of the CSI to extractentropy for random number generation. The proposed method has severaladvantages over traditional random number generators, including the useof a natural source of entropy in 5G wireless communication systems, min-imal hardware and computational resource requirements, and a high levelof security due to the use of physical characteristics of the wireless chan-nel that are difficult for attackers to predict or manipulate. Simulation re-sults demonstrate that the proposed method generates high-entropy randomnumbers, passes statistical randomness tests, and outperforms traditionalrandom number generators regarding energy consumption and computa-tional complexity. This approach has the potential to improve the securityof cryptographic protocols in 5G networks.